Discover RHEO’s web version—an instant, private fluid simulation for calming, breathing, and creative play, accessible directly in your browser without downloads.
The Latest
RHEO On The Web: Find Your Flow
The City That Watches Itself: The Living Digital Twin, And The God’s-Eye View We’re Building
Cities are developing real-time, AI-powered digital twins that monitor urban environments continuously, raising both planning and surveillance concerns.
When Does Cheap Memory Come Back? The 2027–2029 Question
Memory prices are expected to remain high through 2028 or beyond, with relief delayed until at least 2028–2029 due to industry capacity limits and demand trends.
Build, Rent, Or Quantize: Cutting Your Memory Bill Without Cutting Capability
Exploring how building, renting, and quantizing AI models can lower memory expenses without sacrificing capability amid the 2026 memory crunch.
RHEO On Steam: One Toy, Every Screen
RHEO is launching on Steam, offering a fluid art experience across PC, Steam Deck, VR, and more with seamless cloud sync and device-agnostic design.
The Real Cost of a Local-Inference Rig in 2026
Analyzing the hardware costs and limitations of running large language models locally in 2026, including VRAM constraints and value strategies.
Software-Defined Warfare: How Ukraine’s Delta Turned the Battlefield Into a Shared, Real-Time Map
Ukraine’s Delta system integrates real-time data from diverse sources via cloud-based tech, revolutionizing battlefield management and decision-making.
Apple Silicon’s Quiet Memory Advantage
Apple Silicon’s unified memory architecture offers a significant advantage for large AI models, enabling capacity surpassing discrete GPUs at lower cost and power.
Cloud’s Hidden Memory Bill
Cloud providers face a memory shortage driving up costs, with AWS raising prices for the first time in 20 years. Many firms consider on-premises or hybrid solutions.
The Eye Over the City: How Wide-Area Motion Imagery Works — and Where It Goes Blind
An in-depth look at how Wide-Area Motion Imagery (WAMI) works, its capabilities, limitations, and future developments in city-scale surveillance technology.
